Abstract: The present disclosure provides a direct current (DC) transformer error detection apparatus for a pulsating harmonic signal, including a DC and pulsating harmonic current output module and an external detected input module, where the DC and pulsating harmonic current output module outputs a DC and a DC superimposed pulsating harmonic current to an internal sampling circuit and a self-calibrated standard resistor array; and the internal sampling circuit converts the input DC and the input DC superimposed pulsating harmonic current into a voltage signal, and sends the voltage signal to an analog-to-digital (AD) sampling and measurement component through a front-end conditioning circuit and a detected input channel. The DC transformer error detection apparatus can complete self-calibration for measurement of the DC and the pulsating harmonic signal on a test site.

Abstract: There is shown and described a deep learning based system and method for skin diagnostics as well as testing metrics that show that such a deep learning based system outperforms human experts on the task of apparent skin diagnostics. Also shown and described is a system and method of monitoring a skin treatment regime using a deep learning based system and method for skin diagnostics.

Abstract: A nanofiber actuator comprises a composite structure and a vanadium dioxide layer. The composite structure comprises a carbon nanotube wire and an aluminum oxide layer. The aluminum oxide layer is coated on a surface of the carbon nanotube wire, and the aluminum oxide layer and the carbon nanotube wire are located coaxially with each other. The vanadium dioxide layer is coated on a surface of the composite structure, and the vanadium dioxide layer and the composite structure are located non-coaxially with each other.

Abstract: Systems and methods relate to a network model to apply an effect to an image such as an augmented reality effect (e.g. makeup, hair, nail, etc.). The network model uses a conditional cycle-consistent generative image-to-image translation model to translate images from a first domain space where the effect is not applied and to a second continuous domain space where the effect is applied. In order to render arbitrary effects (e.g. lipsticks) not seen at training time, the effect's space is represented as a continuous domain (e.g. a conditional variable vector) learned by encoding simple swatch images of the effect, such as are available as product swatches, as well as a null effect. The model is trained end-to-end in an unsupervised fashion. To condition a generator of the model, convolutional conditional batch normalization (CCBN) is used to apply the vector encoding the reference swatch images that represent the makeup properties.

Abstract: There is shown and described a deep learning based system and method for skin diagnostics as well as testing metrics that show that such a deep learning based system outperforms human experts on the task of apparent skin diagnostics. Also shown and described is a system and method of monitoring a skin treatment regime using a deep learning based system and method for skin diagnostics.

Abstract: There is shown and described a deep learning based system and method for skin diagnostics as well as testing metrics that show that such a deep learning based system outperforms human experts on the task of apparent skin diagnostics. Also shown and described is a system and method of monitoring a skin treatment regime using a deep learning based system and method for skin diagnostics.

Abstract: A laser remote control switching system comprises a laser source and a control circuit. The control circuit comprises a power, an electronic device, a first electrode, a second electrode, and a photosensitive element electrically connected in sequence to form a loop. Each of the two nanofiber actuators comprises a composite structure and a vanadium dioxide layer. The composite structure comprises a carbon nanotube wire and an aluminum oxide layer. The aluminum oxide layer is coated on a surface of the carbon nanotube wire, and the aluminum oxide layer and the carbon nanotube wire are located coaxially with each other. The vanadium dioxide layer is coated on a surface of the composite structure, and the vanadium dioxide layer and the composite structure are located non-coaxially with each other.

Abstract: Embodiments of the disclosure provide a controller for a compressor and a control method, a compressor assembly, and a refrigeration system, which improve control efficiency and reliability. The controller includes an obtaining module configured to obtain at least one operation state parameter of the compressor, and a controlling module configured to shut off a liquid injection valve if one of the at least one operation state parameter of the compressor meets a protection action condition, wherein the liquid injection valve is configured to regulate flow of fluid injected into the compressor.

Abstract: A nano manipulator comprises a base and a clamping structure. The clamping structure comprises two nanofiber actuators located on the base and spaced from each other. Each of the two nanofiber actuators comprises a composite structure and a vanadium dioxide layer. The composite structure comprises a carbon nanotube wire and an aluminum oxide layer. The aluminum oxide layer is coated on a surface of the carbon nanotube wire, and the aluminum oxide layer and the carbon nanotube wire are located coaxially with each other. The vanadium dioxide layer is coated on a surface of the composite structure, and the vanadium dioxide layer and the composite structure are located non-coaxially with each other.

Abstract: A bionic arm comprises a bionic palm and at least one finger. The at least one finger comprises a nanofiber actuator. A nanofiber actuator comprises a composite structure and a vanadium dioxide layer. The composite structure comprises a carbon nanotube wire and an aluminum oxide layer. The aluminum oxide layer is coated on a surface of the carbon nanotube wire, and the aluminum oxide layer and the carbon nanotube wire are located coaxially with each other. The vanadium dioxide layer is coated on a surface of the composite structure, and the vanadium dioxide layer and the composite structure are located non-coaxially with each other.

Abstract: A nano manipulator comprises a base and a clamping structure. The clamping structure comprises two nanofiber actuators located on the base and spaced from each other. Each of the two nanofiber actuators comprises a composite structure and a vanadium dioxide layer. The composite structure comprises a carbon nanotube wire and an aluminum oxide layer. The aluminum oxide layer is coated on a surface of the carbon nanotube wire, and the aluminum oxide layer and the carbon nanotube wire are located coaxially with each other. The vanadium dioxide layer is coated on a surface of the composite structure, and the vanadium dioxide layer and the composite structure are located non-coaxially with each other.

Abstract: A laser remote control switching system comprises a laser source and a control circuit. The control circuit comprises a power, an electronic device, a first electrode, a second electrode, and a photosensitive element electrically connected in sequence to form a loop. Each of the two nanofiber actuators comprises a composite structure and a vanadium dioxide layer. The composite structure comprises a carbon nanotube wire and an aluminum oxide layer. The aluminum oxide layer is coated on a surface of the carbon nanotube wire, and the aluminum oxide layer and the carbon nanotube wire are located coaxially with each other. The vanadium dioxide layer is coated on a surface of the composite structure, and the vanadium dioxide layer and the composite structure are located non-coaxially with each other.

Abstract: A nanofiber actuator comprises a composite structure and a vanadium dioxide layer. The composite structure comprises a carbon nanotube wire and an aluminum oxide layer. The aluminum oxide layer is coated on a surface of the carbon nanotube wire, and the aluminum oxide layer and the carbon nanotube wire are located coaxially with each other. The vanadium dioxide layer is coated on a surface of the composite structure, and the vanadium dioxide layer and the composite structure are located non-coaxially with each other.

Abstract: A fluid injection control system, a fluid injection control method and a fluid circulation system including the fluid injection control system are provided. The fluid injection control system includes an injection valve, control apparatus and energy storage apparatus. The injection valve is arranged in a path along which a fluid flows into a device; the energy storage apparatus is configured to supply, in response to the control apparatus being powered off, power to the control apparatus so as to maintain an operation of the control apparatus.

Abstract: The disclosure relates to a biomimetic insect. The biomimetic insect includes a trunk and at least two wings connected to the trunk. The wing includes a carbon nanotube layer and a vanadium dioxide layer (VO2) layer stacked with each other. Because the drastic, reversible phase transition of vanadium dioxide, the wing has giant deformation amplitude and fast response.

Abstract: A phase loss detection device, a compressor including the same, and a phase loss detection method are disclosed. The phase loss detection device may include a signal converting circuit and a processor. The signal converting circuit is configured to convert voltage signals corresponding to respective phases of multiphase alternating current (AC) power monitored from a motor. The processor is configured to receive the converted voltage signals from the signal converting circuit, and configured to calculate, based on the converted voltage signals, one or more phase angles between the respective voltage signals. The processor is configured to determine that phase loss occurs if any one or more of the calculated phase angles deviate from a nominal value of a corresponding phase angle of the multiphase AC power by a value higher than a predetermined threshold. The phase loss detection can be performed in a convenient, effective and reliable way.

Abstract: There is shown and described a deep learning based system and method for skin diagnostics as well as testing metrics that show that such a deep learning based system outperforms human experts on the task of apparent skin diagnostics. Also shown and described is a system and method of monitoring a skin treatment regime using a deep learning based system and method for skin diagnostics.

Abstract: The disclosure relates to a biomimetic limb and robot using the same. The biomimetic limb includes: an arm and a biomimetic hand connected to the arm and including at least one biomimetic finger. The biomimetic finger includes a carbon nanotube layer and a vanadium dioxide layer (VO2) layer stacked with each other. Because the drastic, reversible phase transition of VO2, the biomimetic finger has giant deformation amplitude and fast response. An robot using the biomimetic limb is also provided.

Abstract: Systems and methods relate to a network model to apply an effect to an image such as an augmented reality effect (e.g. makeup, hair, nail, etc.). The network model uses a conditional cycle-consistent generative image-to-image translation model to translate images from a first domain space where the effect is not applied and to a second continuous domain space where the effect is applied. In order to render arbitrary effects (e.g. lipsticks) not seen at training time, the effect's space is represented as a continuous domain (e.g. a conditional variable vector) learned by encoding simple swatch images of the effect, such as are available as product swatches, as well as a null effect. The model is trained end-to-end in an unsupervised fashion. To condition a generator of the model, convolutional conditional batch normalization (CCBN) is used to apply the vector encoding the reference swatch images that represent the makeup properties.

Abstract: The disclosure relates to an actuator based on carbon nanotubes and actuating system using the same. The actuator includes: a carbon nanotube layer and a vanadium dioxide layer stacked with each other. Because the drastic, reversible phase transition of VO2, the actuator has giant deformation amplitude and fast response. An actuating system using the actuator is also provided.